|
| | | | |
| | | |
| Stat |
Members: 3645
Articles: 2'504'585
Articles rated: 2609
24 April 2024 |
|
| | | | |
|
Article overview
| |
|
|
Quantum Predictive Filtering | | Arne L. Grimsmo
; Susanne Still
; | | Date: |
5 Oct 2015 | | Abstract: | How can relevant information be extracted from a quantum process? In many
situations, only some part of the total information content produced by an
information source is useful. Can one then find an efficient encoding, in the
sense of retaining the largest fraction of relevant information? This paper
offers one possible solution by giving a generalization of a classical method
designed to retain as much relevant information as possible in a lossy data
compression. A key feature of the method is to introduce a second information
source to define relevance. We quantify the advantage a quantum encoding has
over the best classical encoding in general, and we demonstrate using examples
that a substantial quantum advantage is possible. A main result, however, is
that if the relevant information is purely classical, then a classical encoding
is optimal. | | Source: | arXiv, 1510.1023 | | Services: | Forum | Review | PDF | Favorites | |
|
|
No review found.
Did you like this article?
Note: answers to reviews or questions about the article must be posted in the forum section.
Authors are not allowed to review their own article. They can use the forum section.
browser Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
|
| |
|
|
|
|
News, job offers and information for researchers and scientists:
| |
REGISTER